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Development of Radio-Frequency Sensor Wake-Up with Unmanned Aerial Vehicles as an Aerial Gateway

机译:以无人飞行器为空中网关的射频传感器唤醒的开发

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摘要

The advent of autonomous navigation, positioning, and general robotics technologies has enabled the improvement of small to miniature-sized unmanned aerial vehicles (UAVs, or ‘drones’) and their wide uses in engineering practice. Recent research endeavors further envision a systematic integration of aerial drones and traditional contact-based or ground-based sensors, leading to an aerial–ground wireless sensor network (AG-WSN), in which the UAV serves as both a gateway besides and a remote sensing platform. This paper serves two goals. First, we will review the recent development in architecture, design, and algorithms related to UAVs as a gateway and particularly illustrate its nature in realizing an opportunistic sensing network. Second, recognizing the opportunistic sensing need, we further aim to focus on achieving energy efficiency through developing an active radio frequency (RF)-based wake-up mechanism for aerial–ground data transmission. To prove the effectiveness of energy efficiency, several sensor wake-up solutions are physically implemented and evaluated. The results show that the RF-based wake-up mechanism can potentially save more than 98.4% of the energy that the traditional duty-cycle method would otherwise consume, and 96.8% if an infrared-receiver method is used.
机译:自主导航,定位和通用机器人技术的出现使小型到微型无人机(UAV,简称“无人机”)得到了改进,并在工程实践中得到了广泛的应用。最近的研究努力进一步构想空中无人机与传统的基于接触或基于地面的传感器的系统集成,从而形成一种航空地面无线传感器网络(AG-WSN),在该网络中,UAV既是网关又是远程网关感应平台。本文有两个目标。首先,我们将回顾与无人机作为网关有关的架构,设计和算法的最新发展,并特别说明其在实现机会传感网络中的本质。其次,认识到机会感测的需要,我们进一步旨在通过开发基于主动射频(RF)的空地数据传输唤醒机制来实现能源效率。为了证明能效的有效性,已物理实施和评估了几种传感器唤醒解决方案。结果表明,基于RF的唤醒机制可以节省传统占空比方法原本会消耗的98.4%以上的能量,如果使用红外接收器方法,则可以节省96.8%的能量。

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